Now showing items 1-4 of 4

    • Damaged road detection using Image Processing and Deep Learning 

      Swadesh, Shimran Mahbub; Ahmed, Rifat; Hossain, MD. Imran; Rahman, MD. Raihan (Brac University, 2022-01)
      Computer Science has evolved enormously in the last few decades. It has now far exceeded the Human and Computer interfaces. Its recent sights are scaling, measuring, object detection, etc. Image processing and deep learning ...
    • An Efficient deep learning approach to detect Brain Tumor using MRI images 

      Islam, Annur Tasnim; Apu, Sakib Mashra; Sarker, Sudipta; Hasan, Inzamam M.; Shuvo, Syeed Alam (Brac University, 2021-10)
      A brain tumor is the development of mutated cells in the human brain. Many di er- ent types of brain tumors exist nowadays. According to researchers and physicians, some brain tumors are non-cancerous while some are ...
    • Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning 

      Nabil, Sheikh MD. Nafis Noor; Ahmed, Sabir; Chowdhury, Naimul Haque; Maria, Farhana Eyesmeen (Brac University, 2024-01)
      Classifying retinal diseases with a higher accuracy rate is one of the most important means in the medical field. In the case of image classification, finding a dataset becomes a significant challenge for such cases. As ...
    • U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images 

      Mithila, Maliha Tabassum; Prome, Tasnim Ahsan; Tabassum, Elmi; Kamrul, Sameha; samiha, Nausheen (Brac University, 2022-05)
      There are various biometric parameters of the fetus that need to be evaluated to monitor prenatal diagnosis during pregnancy. Biometric parameters such as head circumference, abdominal circumference, cortical volume, the ...